Chai-1
SkillProductivityLets your agent run and review biomolecular structure predictions, including protein complexes with ligands and nucleic acids.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Chai-1 skill
About this capability
Run or prepare Chai-1 structure predictions for biomolecular complexes. Use when a task asks for Chai-1 inputs, multimers, ligand/nucleic acid structure prediction, or confidence review.
What this skill tells your AI
The instructions your AI receives, as published by companion-inc/feynman in skills/chai1/SKILL.md and read by ahel’s review.
Use this skill for Chai-1-style biomolecular structure prediction and review.
Workflow:
- Convert the research question into an input manifest with chains, sequences, ligands, nucleic acids, templates, restraints, and seeds.
- Verify the available execution path before running: local model, managed endpoint, Modal job, SSH host, or documented remote API.
- Capture package/model version, exact input manifest, hardware, command or request body, and all raw output files.
- Save structure files and confidence artifacts in the active Feynman output folder.
- Review chain coverage, interface confidence, ligand plausibility, stereochemistry warnings, and conflicts with known structures.
Use the structure as evidence only after the provenance and confidence checks are attached.
Signals
- GitHub stars
- 9k
- Forks
- 1k
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
chai1- Source
- github.com/companion-inc/feynman